MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3200
Single Precision Score
16048
Half Precision Score
15750
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | roomac |
| Upload Date | March 21 2025 05:12 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
6398
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6044
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9712
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10052
162.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
69010
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65863
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7282
579.3 IPS |
|
|
Object Detection (Q)
|
91% |
6887
550.3 IPS |
|
|
Face Detection (SP)
|
100% |
2992
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
17045
202.5 IPS |
|
|
Face Detection (Q)
|
100% |
15732
186.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
49330
380.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
49675
388.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16716
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122457
157.4 IPS |
|
|
Style Transfer (Q)
|
96% |
116353
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23806
879.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25152
928.7 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2394
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3681
63.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3777
65.3 IPS |
